






import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


SCREAMING_SNAKE_CASE							=    logging.get_logger(__name__)  # pylint: disable=invalid-name
class 				A_     (    __lowercase      ):






 '''simple docstring'''




 def __init__(						self				,	_A				,	_A=768)			->		str:

     """simple docstring"""



     super().__init__(_A)
     _UpperCAmelCase					:   Dict      	=					proj_size

     _UpperCAmelCase					:   Any      	=					CLIPVisionModel(_A)
     _UpperCAmelCase					:   Optional[int]      	=					PaintByExampleMapper(_A)
     _UpperCAmelCase					:   Any      	=					nn.LayerNorm(config.hidden_size)
     _UpperCAmelCase					:   List[str]      	=					nn.Linear(config.hidden_size				,	self.proj_size)

     # uncondition for scaling
     _UpperCAmelCase					:   Any      	=					nn.Parameter(torch.randn((1, 1, self.proj_size)))


 def 			snake_case__					(						self				,	_A				,	_A=False)			->		Dict:

     """simple docstring"""



     _UpperCAmelCase					:   Optional[Any]      	=					self.model(pixel_values=_A)
     _UpperCAmelCase					:   int      	=					clip_output.pooler_output
     _UpperCAmelCase					:   Dict      	=					self.mapper(latent_states[:, None])
     _UpperCAmelCase					:   Dict      	=					self.final_layer_norm(_A)
     _UpperCAmelCase					:   List[str]      	=					self.proj_out(_A)
     if return_uncond_vector:
         return latent_states, self.uncond_vector

     return latent_states



class 				A_     (    nn.Module      ):






 '''simple docstring'''




 def __init__(						self				,	_A)			->		str:

     """simple docstring"""



     super().__init__()
     _UpperCAmelCase					:   str      	=					(config.num_hidden_layers + 1) // 5
     _UpperCAmelCase					:   Any      	=					config.hidden_size
     _UpperCAmelCase					:   Optional[Any]      	=					1
     _UpperCAmelCase					:   str      	=					nn.ModuleList(
         [
             BasicTransformerBlock(_A				,	_A				,	_A				,	activation_fn='''gelu'''				,	attention_bias=_A)
             for _ in range(_A)
         ])


 def 			snake_case__					(						self				,	_A)			->		List[Any]:

     """simple docstring"""



     for block in self.blocks:
         _UpperCAmelCase					:   Optional[int]      	=					block(_A)

     return hidden_states












'''simple docstring'''





def __UpperCAmelCase   (					A					:			list		)    ->   list:
			if len(A		) <= 1:
						return lst

			UpperCAmelCase_      :       List[str]          =       1

			while i < len(A		):
						if lst[i - 1] <= lst[i]:
									i += 1
						else:
									UpperCAmelCase_    ,      UpperCAmelCase_      :       Dict          =       lst[i], lst[i - 1]
									i -= 1
									if i == 0:
												UpperCAmelCase_      :       Dict          =       1

			return lst


if __name__ == "__main__":
						_UpperCamelCase						:						int  =					input('Enter numbers separated by a comma:\n').strip()
						_UpperCamelCase						:						Union[str, Any]  =					[int(item) for item in user_input.split(',')]
						print(gnome_sort(unsorted))


